Remove Data Remove Metrics Remove Speed
article thumbnail

Site-Speed Topography

CSS Wizardry

When first working on a new site-speed engagement, you need to work out quickly where the slowdowns, blindspots, and inefficiencies lie. Gathering Data. Any time you run a test with WebPageTest, you’ll get this table of different milestones and metrics. Higher variance means a less stable metric across pages.

Speed 328
article thumbnail

4 Software QA Metrics To Enhance Dev Quality and Speed

DZone

In 2019, according to Evans Data Corporation, there were 23.9 In an attempt to hold their place within the market, developers are having to speed their process up whilst delivering products of ever-increasing quality. Often speed and quality seem at odds with one another, but in reality, this isn’t the case.

Speed 290
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Create compelling insights into business and operational KPIs through metric calculations in the Data explorer

Dynatrace

Metrics matter. As objective measurements, they allow us to make data-driven decisions. But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. Metric calculations help you design custom dashboards that meet the requirements of specific teams. Dynatrace news.

Metrics 246
article thumbnail

How a data lakehouse brings data insights to life

Dynatrace

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.

Analytics 234
article thumbnail

Dynatrace Opportunity Insights uses AI prediction and real-user data to optimize business outcomes

Dynatrace

Performance, errors, and user experience Dynatrace has long understood the importance of performance as a foundational component of user experience and the impact that page speed and any friction introduced by errors have on user behavior. The addition of more and more metrics over time has only made this increasingly complex.

Airlines 258
article thumbnail

The history of Grail: Why you need a data lakehouse

Dynatrace

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

article thumbnail

AI techniques enhance and accelerate exploratory data analytics

Dynatrace

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices.

Analytics 222